Model Evaluator

Benchmark and compare AI models with automated evaluation suites, A/B tests, and quality scoring.

Category: AI & LLMs | Security status: verified | Rating: 4.6/5 | Version: 1.7.0

What Model Evaluator does

Model Evaluator provides a comprehensive framework for evaluating AI model performance. Run standardized benchmarks, create custom evaluation suites, compare models head-to-head with statistical significance testing, and track quality over time. Supports automated grading with rubrics, human preference collection, and regression detection.

Use cases

Compare model quality before switching providers
Detect quality regressions after model updates
Validate fine-tuned models against baselines
Run A/B tests with statistical significance

Install Model Evaluator

npx clawhub@latest install model-evaluator

Frequently asked questions

What metrics does it track?

Accuracy, fluency, relevance, factuality, latency, cost, and custom rubric scores. All configurable per use case.

Can it evaluate subjective quality?

Yes — it uses LLM-as-judge with configurable rubrics and supports human preference annotation.